Main description:

Introduces basic concepts of biostatistics

Avoids mathematical formulas

Hands-on exercise with free software

Downloadable datasets

Includes advanced concepts in survival analysis and prognostic modeling

Contents:

Describing data. Hypothesis testing. Epidemiological study design. Selecting proper statistical tests. Comparing a continuous outcome variable between two independent groups: Student's t-test and Mann-Whitney U test. Paired-t tests and Wilcoxon's signed rank tests. Comparing continuous variable between three+ groups: Analysis of Variance, Kruskal-Wallis tests, Friedman tests. Linear regression and correlation analysis. Relative risk, Rate ratio, Odds ratio, Logistic regression. Analysis for disease diagnosis and prognosis: Sensitivity, specificity and receiver-operating-curve (ROC). Survival Analysis. Computing sample size for a clinical research.